Dr. Houston graduated from the Thomas Jefferson University, Jefferson Medical College in 1975. He works in Poland, OH and specializes in Cardiovascular Disease. Dr. Houston is affiliated with St Elizabeth Health Center.
Womens Medical Group Of The CarolinasSpartanburg Center For Family Medicine 853 N Church St STE 510, Spartanburg, SC 29303 (864)5606193 (phone), (864)5601510 (fax)
Medical Group Of The Carolinas Palliative Care Senior Health 1530 Drayton Rd, Drayton, SC 29333 (864)5606012 (phone), (864)5606013 (fax)
Education:
Medical School Creighton University School of Medicine Graduated: 1980
Procedures:
Arthrocentesis Destruction of Benign/Premalignant Skin Lesions Circumcision Electrocardiogram (EKG or ECG) Osteopathic Manipulative Treatment Vaccine Administration
Dr. Houston graduated from the Creighton University School of Medicine in 1980. He works in Drayton, SC and 1 other location and specializes in Family Medicine. Dr. Houston is affiliated with Spartanburg Regional Medical Center.
Sentara Medical Group Anesthesia 2025 Glenn Mitchell Dr, Virginia Beach, VA 23456 (757)3636230 (phone), (757)3636204 (fax)
Education:
Medical School University of Illinois, Chicago College of Medicine Graduated: 2002
Languages:
English
Description:
Dr. Houston graduated from the University of Illinois, Chicago College of Medicine in 2002. He works in Virginia Beach, VA and specializes in Anesthesiology. Dr. Houston is affiliated with Sentara Princess Anne Hospital.
Ryder Integrated Logistics Apr 2008 - Jan 2010
Director of Transportation
Ryder Integrated Logistics Sep 2000 - Jan 2010
Director of Transportation
Ryder Integrated Logistics Jan 2006 - Apr 2008
Group Logistics Manager
Ryder Integrated Logistics Jan 2005 - Jan 2006
Senior Logistics Manager
Ryder Integrated Logistics Jan 2003 - Jan 2005
Logistics Manager
Education:
Davenport University 2001 - 2005
Bachelors, Business Management
Davenport University
B.A, Business Management
Jeffrey M. Gabelmann - Boerne TX, US J. Stephen Kattner - San Antonio TX, US Robert A. Houston - San Antonio TX, US
International Classification:
G01V 3/00
US Classification:
3408546, 343893, 166 66, 702 17, 702 5
Abstract:
This invention is an ultra-low frequency electromagnetic telemetry receiver which fuses multiple input receive sources to synthesize a decodable message packet from a noise corrupted telemetry message string. Each block of telemetry data to be sent to the surface receiver from a borehole tool is digitally encoded into a data packet prior to transmission. The data packet is modulated onto the ULF EM carrier wave and transmitted from the borehole to the surface and then are simultaneously detected by multiple receive sensors disbursed within the rig environment. The receive sensors include, but are not limited to, electric field and magnetic field sensors. The spacing of the surface receive elements is such that noise generators are unequally coupled to each receive element due to proximity and/or noise generator type (i. e. electric or magnetic field generators). The receiver utilizes a suite of decision metrics to reconstruct the original, non noise-corrupted data packet from the observation matrix via the estimation of individual data frames.
Robert Houston - Cincinnati OH Robert J. Sarama - Loveland OH Paul Seiden - Cincinnati OH Keith D. Adams - Cincinnati OH Gregory M. McCabe - Cincinnati OH
Assignee:
The Procter & Gamble Company - Cincinnati OH
International Classification:
A23L 1015
US Classification:
426423
Abstract:
Polyol polyesters are purified by a process comprising bleaching with a specific silica gel and/or heat treatment and removal of volatile products by steam deodorization. Any steam deodorization is at reduced temperatures or in admixture with triglycerides to minimize thermal degradation of the polyol polyesters.
Fault Detection And Diagnosis For Printed Circuit Boards
Hugh F. Spence - San Antonio TX Daniel P. Burris - San Antonio TX Robert A. Houston - Somerset TX
Assignee:
Southwest Research Institute - San Antonio TX
International Classification:
G01R 3100 G01N 2184
US Classification:
374 41
Abstract:
A method for detecting an diagnosing faults in printed circuit boards. Emissivity data and thermal image data of the various components of the board are obtained. The emissivity data is used to correct the thermal image data. The corrected data is converted to device space data, which is then input to a previously trained neural network. The output of the neural network indicates the location of the fault. The method includes an improved method for obtaining an emissivity map and a method for providing suitable neural network input.